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Posts published in “Github”

Laboratory 1 Assembly Language and the RISC-V ISA

The RISC-V Assembler and Runtime Simulator (RARS) can be downloaded from: https://github.com/TheThirdOne/rars/releases/tag/v1.5 All information is in pdf file   DOWNLOAD FILES HERE Laboratory 1 Assembly Language and the RISC-V ISA Page 1of 6School of EngineeringEEET2261–Computer Architecture and OrganisationLaboratory 1Assembly Language and the RISC-V ISA1Aims(i)To develop an appreciation for the abstraction provided by a microprocessor’s Instruction Set Architecture (ISA).(ii)To use theRISC-V specification to understand thefunctional operation of the RISC-V ISA.(iii)To implement common algorithms typical of those suited to optimisation through direct assembly language programmingusing the RV32I base ISA.(iv)To develop an appreciation for theconstraints imposed on software by the underlying ISA.(v)To utilise…

Forecasting Chicken Wing Demand

Exercise 1: Forecasting chicken wing demand The following data represents the weekly demand for chicken wings at a local restaurant during the past six weeks: Week 1 2 3 4 5 6 Demand 650 521 563 735 514 596 Complete the following: a.    Forecast the demand for week 7 using a five-period Moving average. b.    Forecast the demand for week 7 using a three-period weighted moving average. Use the following weights to obtain your forecast: o    W1 = 0.5 o    W2 = 0.3 o    W3 = 0.2 c.    Forecast the demand for week 7 using exponential smoothing. o    Use an α value of 0.1 o    Assume…

Write a program that will open a data file (“data.csv”) containing multiple rows and columns (no missing value)

COMP-5411 FA & FB Fall 2019 Assignment 1 This is NOT a group assignment Due Date: Wednesday, October 9, 11:59 pm Late submission is NOT allowed. 1) Write a program that will open a data file (“data.csv”) containing multiple rows and columns (no missing value). Assume both your program and the data file are in the same directory so that explicitly mentioning the path is not required while loading the file. Each column represents a feature and each row is an instance. The dataset should have at least 2 continuous features, 1 categorical feature and 100 instances. Your program then…